DiBlasi Emily, Kaufman Erin A, Webster Sam, Hagn Emily E, Shabalin Andrey A, Chen Danli, Han Seonggyun, Jawish Rana, Monson Eric T, Staley Michael J, Keeshin Brooks R, Docherty Anna R, Bakian Amanda V, Okifuji Akiko, Coon Hilary
Department of Psychiatry & Huntsman Mental Health Institute, Spencer Fox Eccles School of Medicine, University of Utah, Salt Lake City, UT, USA.
Division of Pain Medicine, Department of Anesthesiology, Spencer Fox Eccles School of Medicine, University of Utah, Salt Lake City, UT, USA.
BMC Med. 2024 Dec 2;22(1):568. doi: 10.1186/s12916-024-03794-1.
Chronic pain, regardless of its type, is a significant risk factor for suicide. However, not all individuals with chronic pain also experience suicidal thoughts and behaviors. Better characterization of clinical risk profiles and comorbidities across the medical spectrum among people with chronic pain who die by suicide is urgently needed to aid treatment and prevention strategies.
This case-control study leverages population-based data from the Utah Suicide Mortality Risk Study. Specifically, we identify clinical phenotypes from diagnostic data that differentiate between individuals that died by suicide with chronic pain diagnoses (N = 1,410) and living control individuals who also had chronic pain diagnoses (N = 4,664). Medical diagnostic codes were aggregated via phecodes to perform a phenotype-based phenome-wide association study. Using multivariable logistic regression analysis adjusting for covariates and multiple testing, differences in 1,727 common clinical phenotypes (phecodes) were assessed between suicide deaths and controls with chronic pain diagnoses. Models were also stratified by sex.
Chronic pain diagnoses were nearly three times more prevalent in individuals who died by suicide compared with those who did not. Sixty-five phecodes were significantly overrepresented among suicide deaths with chronic pain diagnoses compared with controls with chronic pain diagnoses. Utah suicide deaths with chronic pain had significantly more psychiatric diagnoses (mood disorders, anxiety disorders, attention deficit hyperactivity disorder, posttraumatic stress disorder, personality disorders, schizophrenia/psychosis, substance use related traits and prior overdoses, and diagnoses related to previous suicidal thoughts and behaviors) in addition to insomnia and specific pain related diagnoses compared to Utah controls with chronic pain (odds ratios ranged from 1.40-7.10). Twenty-five phecodes were overrepresented in controls with chronic pain compared to suicides. These were related to preventative care, cancer, obesity and other conditions (odds ratios ranged from 0.16-0.73). Sex-specific analyses largely replicated the combined analyses, yet the strength of the association was stronger for women with phecodes related to prior self-harm.
Results identified multiple clinical comorbidities with chronic pain that differentiate suicide deaths from living control individuals with a history of diagnosed chronic pain. Our findings may help discern individuals with chronic pain who may be at greater risk for suicide death.
慢性疼痛,无论其类型如何,都是自杀的一个重要风险因素。然而,并非所有患有慢性疼痛的个体都会出现自杀念头和行为。迫切需要更好地描述自杀死亡的慢性疼痛患者在整个医学范围内的临床风险概况和合并症,以辅助治疗和预防策略。
本病例对照研究利用了犹他州自杀死亡率风险研究中的基于人群的数据。具体而言,我们从诊断数据中识别临床表型,以区分患有慢性疼痛诊断的自杀死亡个体(N = 1,410)和也患有慢性疼痛诊断的存活对照个体(N = 4,664)。通过phecode汇总医学诊断代码,以进行基于表型的全表型关联研究。使用多变量逻辑回归分析对协变量和多重检验进行调整,评估自杀死亡者与患有慢性疼痛诊断的对照者之间1,727种常见临床表型(phecode)的差异。模型也按性别分层。
与未自杀者相比,自杀死亡者中慢性疼痛诊断的患病率几乎高出三倍。与患有慢性疼痛诊断的对照者相比,患有慢性疼痛诊断的自杀死亡者中65个phecode显著过度代表。与患有慢性疼痛的犹他州对照者相比,患有慢性疼痛的犹他州自杀死亡者除了失眠和特定的疼痛相关诊断外,还有更多的精神疾病诊断(情绪障碍、焦虑症、注意力缺陷多动障碍、创伤后应激障碍、人格障碍、精神分裂症/精神病、物质使用相关特征和既往用药过量,以及与既往自杀念头和行为相关的诊断)(比值比范围为1.40 - 7.10)。与自杀者相比,25个phecode在患有慢性疼痛的对照者中过度代表。这些与预防保健、癌症、肥胖和其他疾病有关(比值比范围为0.16 - 0.73)。性别特异性分析在很大程度上重复了综合分析,但与既往自我伤害相关的phecode在女性中的关联强度更强。
研究结果确定了多种与慢性疼痛相关的临床合并症,这些合并症可区分自杀死亡者与有慢性疼痛诊断病史的存活对照个体。我们的发现可能有助于识别那些自杀死亡风险可能更高的慢性疼痛患者。